Publication detail

Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders

ŠPLÍCHAL, B. LEHKÝ, D. DOLEŽEL, J.

Original Title

Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders

Type

conference paper

Language

English

Original Abstract

This paper compares several methods for assessing the design resistance of an existing railway bridge made of KT-24 precast post-tensioned concrete girders. The determination of the load-bearing capacity of the structure is carried out by means of probabilistic nonlinear analysis using finite element method. Load bearing capacity is determined for the ultimate as well as serviceability limit states. A fully probabilistic approach is compared to selected code-recommended semi-probabilistic methods, which are able to greatly reduce the number of nonlinear calculations needed to estimate the design value of resistance. The results are compared and discussed with respect to accuracy and required computational time, which is a critical issue when performing a global nonlinear analysis of a complex structure.

Keywords

Non-linear analysis; finite element method; semi-probabilistic methods; KT-24 girders

Authors

ŠPLÍCHAL, B.; LEHKÝ, D.; DOLEŽEL, J.

Released

5. 9. 2022

Publisher

CRC Press Taylor & Francis Group

Location

Cape Town

ISBN

978-1-003-34844-3

Book

Current Perspectives and New Directions in mechanics, modelling and design of structural systems – Zingoni (ed.)

Pages from

1208

Pages to

1214

Pages count

6

BibTex

@inproceedings{BUT179370,
  author="Bohumil {Šplíchal} and David {Lehký} and Jiří {Doležel}",
  title="Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders",
  booktitle="Current Perspectives and New Directions in mechanics, modelling and design of structural systems – Zingoni (ed.)",
  year="2022",
  pages="1208--1214",
  publisher="CRC Press Taylor & Francis Group",
  address="Cape Town",
  doi="10.1201/9781003348443-196",
  isbn="978-1-003-34844-3"
}